saikat Gochhait
Verified @sidtm.edu.in
Assistant Professor Academic Level 12 7th Pay CPC
Symbiosis International Deemed University
Dr. Saikat Gochhait teaches at Symbiosis Institute of Digital & Telecom Management, Symbiosis International Deemed University Pune, India and Neurosciences Research Institute-Samara State Medical University, Russia. He is Ph.D and Post-Doctoral Fellow from the UEx, Spain and National Dong Hwa University, Taiwan. He was Awarded DITA and MOFA Fellowship in 2017 and 2018. His research publication with foreign authors is indexed in Scopus, ABDC, and Web of Science. He is a Senior IEEE member.
EDUCATION
Post Doctoral Fellow - Uex, Spain
Post Doctoral Fellow - National Dong Hwa University, Taiwan
PhD - Sambalpur University
RESEARCH INTERESTS
Technology Management
Marketing
Healthcare
Entrepreneurship
FUTURE PROJECTS
Neurosciences
NeuroMarketing
Applications Invited
Collaborators
Entreprenuership
Women Entrepreneurs
Applications Invited
Collaborators
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Muskan Shrivastava, Ritesh Chugh, Saikat Gochhait, and Abdul Bashiru Jibril
International Conference on Innovative Data Communication Technologies and Application, ICIDCA 2023 - Proceedings, Pages: 741-745, Published: 2023
IEEE
Digital twin technology is the union of three systems - the physical, the virtual and the interconnecting link layer. It acts as a replica and provides real-time representation of real-world physical objects in a virtual format. Digital twins are promising when applied in healthcare. This brief review gives a schematic overview of the current state of digital twin, specifically in the healthcare industry with gaps to overcome the challenges in building smart healthcare ecosystem. A concise synthesis of the following aspects of digital twin provides a cohesive whole in this paper: new capabilities and functions of the digital twin in healthcare, technologies that support digital twins, with its applications. This study motivated by the current COVID-19 pandemic, focuses on the application of the Digital Twin technology in healthcare.
Akash Deep and Saikat Gochhait
International Conference on Innovative Data Communication Technologies and Application, ICIDCA 2023 - Proceedings, Pages: 746-751, Published: 2023
IEEE
In today's society, most of the waking hours are spent on mobile phones and personal computing devices; as reliance on technology and online transactions grows, which in turn increases the security risk. S martphones are becoming more accessible and convenient due to rapid technological improvements and cost reductions. The increasing dependence has serious security ramifications, mainly if the users are uninformed of smartphone information security risks. This paper discusses various security threats, viruses, countermeasures, information gathering, and OS, emphasizing open-source software developed to safeguard mobile phones from these attacks. The ease with which cyber attackers may acquire access to personal data is through cell phones to do private tasks. As a result, recommended practices for protecting and securing smart mobile phones were presented in this study.
Trisa Modi and Saikat Gochhait
International Conference on Innovative Data Communication Technologies and Application, ICIDCA 2023 - Proceedings, Pages: 287-290, Published: 2023
IEEE
With expanding digital transformation of almost all sectors, deployment of different technologies to complement businesses has become ubiquitous. However, discussions regarding the use of technologies to enhance the effectiveness of other technologies has become ever important. This study is one of such attempts that explores the various ways in which gamification andgamified systems can be enhanced through the use of Machine Learning - based algorithms as well as the challenges faced dueto their convergence. More than 100 journal articles and web articles were explored to investigate the existing, upcoming and potential use cases for Artificial Intelligence (AI) and Machine Learning (ML) - based gamification. Multiple use cases and applications were found in various sectors such as e-commerce, ed-tech, medicine and many more. The study will be useful for researchers, technology developers and businesses to think, dis- cuss and develop innovative ways to deploy Artificial Intelligence- enabled gamification to leverage its benefits for themselves.
Saikat Gochhait and Amola Srivastava
Lecture Notes in Networks and Systems, ISSN: 23673370, eISSN: 23673389, Volume: 540, Pages: 15-20, Published: 2023
Springer Nature Singapore
Rodrick Wallace, Irina Leonova, and Saikat Gochhait
Entropy, eISSN: 10994300, Published: August 2022
MDPI AG
A central conundrum enshrouds biocognition: almost all such phenomena are inherently unstable and must be constantly controlled by external regulatory machinery to ensure proper function, in much the same sense that blood pressure and the ‘stream of consciousness’ require persistent delicate regulation for the survival of higher organisms. Here, we derive the Data Rate Theorem of control theory that characterizes such instability via the Rate Distortion Theorem of information theory for adiabatically stationary nonergodic systems. We then outline a novel approach to building new statistical tools for data analysis based on those theorems, focusing on groupoid symmetry-breaking phase transitions characterized by Fisher Zero analogs.
Journal Women's Entrepreneurship and Education, ISSN: 18211283, eISSN: 24060674, Volume: 2022, Issue: 1-2, Pages: 19-38, Published: 12 July 2022
P. Keerthana and Saikat Gochhait
Information Retrieval in Bioinformatics: A Practical Approach, Pages: 83-99, Published: 1 January 2022
Springer Nature Singapore
Information Retrieval in Bioinformatics: A Practical Approach, Pages: 1-157, Published: 1 January 2022
Springer Nature Singapore
Saikar Gochhait, Ronak Asodiya, Totappa Hasarmani, Vasily Patin, and Olga Maslova
Proceedings, International Conference on Electrical, Control and Instrumentation Engineering, ICECIE, ISSN: 28329821, eISSN: 28329848, Volume: 2022-November, Published: 2022
IEEE
In the globe, there are two forms of energy: renewable and non-renewable. Every day, the amount of energy consumed rises. People are shifting to renewable energy as a result of carbon dioxide emissions. Renewable energy sources include solar, wind, and geothermal energy. The sun radiates solar energy, which is potential energy. Solar panels are used to produce power from solar energy. Solar plants are employed in a dusty climate, such as that seen in tropical nations like India. Dust on PV panels reduces the efficiency of the panels' ability to generate power by 50 percent. Cleaning solar panels is necessary because dust decreases the producing power of PV panels by blocking the intensity of light and raising the temperature of the panels. Human resources have traditionally cleaned panels. It's a time-consuming and costly job. Solar panels are also damaged during manual cleaning. The automated system can easily clean it. The automatic solar panel cleaning system has the potential to boost efficiency by 32 percent. PV panels may be cleaned with or without water using this system. With the use of automation and the Internet of Things, it can be fully automated. Cleaning using an automated system consumes less water and is more efficient. With the help of sensors, microcontrollers, and other devices, this machine can work both manually and automatically. It features a horizontal and vertical frame that allows it to clean a number of panels back and forwards. Data on generation and efficiency is monitored via systems. By cleaning the panels on a regular basis, it can increase efficiency by 1.6 to 2.2 percent. The many aspects of cleaning solar panels and the automated solar panel cleaning system are covered in this literature review.
Saikat Gochhait, Harish Patil, Totappa Hasarmani, Vasily Patin, and Olga Maslova
Proceedings, International Conference on Electrical, Control and Instrumentation Engineering, ICECIE, ISSN: 28329821, eISSN: 28329848, Volume: 2022-November, Published: 2022
IEEE
The Internet of Things is an evolving technology that effectively and efficiently enhances everyday activities. Reduce your living expenses by performing the necessary procedures. For synchronized communication, the tools and materials are integrated via the Internet. The price of electricity is continuously increasing, so we need natural sources of electricity that can generate power without cost. In this case, photovoltaic panels produce electricity naturally from the sun. Photovoltaic cells are used in these systems that convert sunlight into electricity. In the power sector, renewable energy sources are currently an exceptional solution for filling the gap in supply. Since solar energy is widely available, unlike some resources that are geographically restricted, it is very beneficial for all renewable energy resources. An advanced plant-based monitoring system coupled with a web-based visual interface is required for this large-scale PV system distribution. In most cases, they are placed in inaccessible places so self-monitoring is impossible in a particular area. Internet of Things (IoT) enabled devices can be used to build control systems. By using the Internet of Things, objects can be detected and controlled remotely over a fixed network, offering opportunities for virtually integrating physical objects into computer-based systems. The use of IoT appears to be beneficial in monitoring renewable energy production. An Arduino-based system is used in this IoT app for tracking the parameters of solar panels. The system continuously monitors the solar panel, and the output power is transmitted over the Internet to the IoT Network A solar photovoltaic power generation plant can be significantly enhanced by using Internet of Things technology for monitoring, analysing, and maintaining its performance. Technology advancements are making renewable energy equipment more affordable worldwide, encouraging the installation of large-scale solar photovoltaic systems. In this paper, an IoT-based approach to solar energy and monitoring is proposed that allows users to monitor and control their solar cells.
Srishti Swain and Saikat Gochhait
2022 International Conference on Sustainable Islamic Business and Finance, SIBF 2022, Pages: 58-62, Published: 2022
IEEE
The banking system gives the groundwork of current business. A well-working financial system is essential to an advanced economy, and banks fill significant roles for society. They should subsequently be secure. Artificial intelligence (AI) is steeply affecting innovation and skill. The financial industry is without a doubt to be the one to take on Artificial Intelligence. The Islamic banking sector is adopting this technology to evaluate vulnerabilities, perceive and prevent payment fraud, further develop against anti-money laundering (AML) processes, and play out extra administrative know-your-client (KYC) checks. Blockchain technology is centre, basic innovation with promising application possibilities in the banking industry. This could enable associations to settle and screen transactions more effortlessly than conventional methods like those of SWIFT. The emergence of cloud computing has modified the part that the Internet plays in a range of associations and organizations. Banks are slowly attempting to embrace cloud technologies to meet their varied prerequisites and to produce a versatile and light financial environment competent of rapidly response to arising business needs. For banks, physical and digital security along-with clients own data are vital to guaranteeing that banks can keep the cash and personal information they are entrusted with and the people who consistently are available in the establishment safe. Although these technologies have rapidly evolved and has the potential to revolutionise the banking industry. Some of these are fairly new concept and are therefore users should be aware of considerable risks and challenges linked with it. Thus, a systematic literature review was conducted to examine the challenges associated with these technologies, along-with the suggested solutions to mitigate them or lessen them.
Suryasish Majumdar and Saikat Gochhait
2022 International Conference on Sustainable Islamic Business and Finance, SIBF 2022, Pages: 159-163, Published: 2022
IEEE
Decentralised Finance(DeFi) is a relatively new concept of banking and finance that relies on peer-to-peer payments enabled by the blockchain technology. Blockchain technology allows DeFi to provide financial services bypassing the traditional financial intermediaries, like banks or brokers. It is an innovative technology that is making a significant influence on the modern society due to its unique characteristics of security, decentralised nature and transparency. Although DeFi has rapidly evolved and has the potential to revolutionise the banking and finance industry, it is a fairly a new concept as compared to the traditional centralised systems and therefore participants should be aware of considerable risks and challenges linked with it. Thus, a systematic literature review was conducted to examine the different types of risks and challenges associated with DeFi, along with the suggested solutions to mitigate them or lessen them. Our analysis of the literature led us to classify the challenges into some categories that aim to give a fair sense of the challenges from a broader perspective without digging too deeply into any one particular issue. Although, DeFi is indeed a revolutionising technology, the knowledge of these risks in DeFi can help us to utilise the resources more efficiently to achieve our goals in this sector.
Keshav Bajaj, Saikat Gochhait, Sangeeta Pandit, Tamanna Dalwai, and Mercia Selva Malar Justin
WSEAS Transactions on Environment and Development, ISSN: 17905079, eISSN: 22243496, Pages: 642-652, Published: 2022
World Scientific and Engineering Academy and Society (WSEAS)
Cryptocurrencies differ from traditional financial assets as they are not governed by any higher authority, have no physical representation, are indefinitely divisible, and are not based on any tangible assets or country. While their popularity and use have surged over the years, they are still subject to an underlying risk. The purpose of this research is to investigate the regulatory approach for cryptocurrencies adopted around the world. To achieve the purpose of this research, extant literature is examined using a systematic literature review. Using a total of 49 Scopus indexed shortlisted articles, the extant literature on the various risks related to cryptocurrency and the regulatory approach adopted for the same was explored. The prior literature was classified into four thematic clusters of the regulatory approach to risks: pandemic, volatility, money laundering and cyber security. The findings suggest the regulations governing cryptocurrency are still at an infancy stage, and it still suffers from the challenge of limited transparency. The pandemic did not have a drastic impact on cryptocurrency. Cryptocurrencies are volatile in reaction to economic policy uncertainty and macroeconomic variables. To the best of the author’s knowledge, this review paper is one of the few contributing to the gaps in the literature on the various risks and their associated regulatory approach to managing cryptocurrency.
Alankrita Rawat and Saikat Gochhait
2022 International Conference on Decision Aid Sciences and Applications, DASA 2022, Pages: 1401-1405, Published: 2022
IEEE
As the complexities of mental disorders grew in tandem with the COVID-19 pandemic, a technical solution to this problem became urgently necessary. To cater to the needs of those who are unable to reach out for direct assistance, IoT-enabled mental health diagnostic systems, in combination with cognitive-behavioral science, are a lifesaver. Advanced devices are used to track various hormones in the body and to apply behavioral and cognitive science to generate effective results. For this research, several different papers and articles published between 2010 and 2021 were reviewed, highlighting the findings added by these reports and the areas they were unable to explore. This research will be beneficial to numerous network and architecture companies specializing in developing IoT devices for the healthcare industry and researchers, particularly in neuroscience, behavioral science, and psychiatry. It may lead to more robust use of Internet of Things (IoT) devices to detect behavioral anomalies and improve effectiveness by taking corrective measures.
Shubham Chandel and Saikat Gochhait
2022 International Conference on Decision Aid Sciences and Applications, DASA 2022, Pages: 275-279, Published: 2022
IEEE
A new virus was unearthed in 2019, and a pandemic struck the entire world. Several different companies and institutions collaborated to produce the vaccine. The definitive answer to the coronavirus pandemic has been outlined as implementing a COVID-19 vaccine capable of restricting the virus’s spread. The Indian government recently scheduled and launched a large-scale vaccination campaign to combat the covid 19 vaccine. However, there has been some skepticism among citizens due to various reasons. COVID-19 was declared as a pandemic which was a global health crisis. We are now in the year 2021, but normalcy has yet to return, and many parts of the country remain in lockdown. The only way to stop the virus’s spread was to develop a COVID-19 vaccine, which was recognized as the definitive response to the COVID-19 pandemic. Numerous organizations concentrated on the vaccine’s development. The most effective way to prevent pandemics is to vaccinate the typical population, including the current Coronavirus crisis. Several factors cause cynicism in the minds of the ordinary human being when it comes to COVID-19 vaccines. We’ll look at different perspectives and sentiments about the Covid 19 vaccine amongst Indian citizens.
Mourya Pathapati and Saikat Gochhait
2022 International Conference on Decision Aid Sciences and Applications, DASA 2022, Pages: 1-5, Published: 2022
IEEE
The advancements in digitization are transforming the healthcare industry, one of the prominent industries producing critical data through patient care. The management of structured and processed data is becoming a challenge. Collecting, storing, and analyzing the data by efficiently reducing the complexity of data management makes the healthcare industry one of the most valuable industries. Creating meaningful and accurate disease predictions is critical in the healthcare sector. A study was conducted using VOSviewer software, which led to four clusters of keywords from different domains based on occurrences and relevance taken from 1500 documents from 1995 to 2021 from Web of Science. These keywords were mapped to the fields impacting the data management in Healthcare to explore the potential problems based on several types of research to establish a framework with an exploratory analysis. The methodology applied in this analysis describes the progress in data management in Healthcare and can let researchers, scholars, and healthcare professionals gain insights for facilitating the healthcare decision-makers.
Tanvi Godbole, Saikat Gochhait, and Dilip Ghosh
Smart Innovation, Systems and Technologies, ISSN: 21903018, eISSN: 21903026, Volume: 248, Pages: 299-309, Published: 2022
Springer Singapore
S. Gochhait, Sh. Aziz Butt, E. De-La-Hoz-Franco, Q. Shaheen, D. M. Jorge Luis, G. Piñeres-Espitia, and D. Mercado-Polo
Automatic Control and Computer Sciences, ISSN: 01464116, eISSN: 1558108X, Pages: 546-556, Published: November 2021
Allerton Press
Aadya Sharma, Dibyashree Ghosh, Neha Divekar, Manisha Gore, Saikat Gochhait, and S.S. Shireshi
International Social Science Journal, ISSN: 00208701, eISSN: 14682451, Pages: 23-36, Published: November 2021
Wiley
Abstract The focus of the present study is to compare and assess the socio‐economic implications of the 1918 influenza pandemic and the COVID‐19 pandemic in India. Both pandemics are similar in the nature of their disease and spread, and have had a far‐reaching impact on society and economies worldwide. To achieve their objective, the researchers adopted the method of systematic literature review (SLR). The findings of the review have been categorised in four subsections: comparison of 1918 influenza and COVID‐19 pandemics in a global context; economic consequences of a pandemic in India; social consequences of a pandemic in India; and the pandemic mitigation measures adopted by India. The findings suggest there are similarities in the socio‐economic implications of the two pandemics and also indicate that developing countries face more severe implications of such pandemics as compared to developed countries. The research findings from the review of literature are followed by the recommendations made by the researchers.
Varsha P. S., Shahriar Akter, Amit Kumar, Saikat Gochhait, and Basanna Patagundi
Journal of Global Information Management, ISSN: 10627375, eISSN: 15337995, Pages: 221-246, Published: July-August 2021
IGI Global
Understanding the growth paths of artificial intelligence (AI) and its impact on branding is extremely pertinent of technology-driven marketing. This explorative research covers a complete bibliometric analysis of the impact of AI on branding. The sample for this research included all 117 articles from the period of 1982-2019 in the Scopus database. A bibliometric study was conducted using co-occurrence, citation analysis and co-citation analysis. The empirical analysis investigates the value propositions of AI on branding. The study revealed the nine clusters of co-occurrence: Social Media Analytics and Brand Equity; Neural Networks and Brand Choice; Chat Bots-Brand Intimacy; Twitter, Facebook, Instagram-Luxury Brands; Interactive Agent-Brand Love and User Choice; Algorithm Recommendations and E-Brand Experience; User-Generated Content-Brand Sustainability; Brand Intelligence Analytics; and Digital Innovations and Brand Excellence. The findings also identify four clusters of citation analysis—Social Media Analysis and Brand Photos, Network Analysis and E-Commerce, Hybrid Simulating Modelling, and Real-time Knowledge-Based Systems—and four clusters of co-citation analysis: B2B Technology Brands, AI Fostered E-Brands, Information Cascades and Online Brand Ratings, and Voice Assistants-Brand Eureka Moments. Overall, the study presents the patterns of convergence and divergence of themes, narrowing to the specific topic, and multidisciplinary engagement in research, thus offering the recent insights in the field of AI on branding.
G. Pineres-Espitia, Shariq Aziz Butt, M. Canate-Masson, A. Alvarez-Navarro, Syed Areeb Hassan, and Saikat Gochhait
2021 6th International Conference for Convergence in Technology, I2CT 2021, Published: 2 April 2021
IEEE
A prototype is designed for the analysis of CO2 concentration. In this paper, to evaluate its functionality, data sending tests are executed. A low cost E34-2G4H20D RF module installed in a UAV (unmanned aerial vehicle) is used for data transmission. CO2 concentration measurement were made at the “Universidad de la Costa” in Barranquilla - Colombia. For this, a device was built for monitor the concentration of CO2 using the Arduino UNO platform and the MQ135 gas sensor. Tests were carried out at different heights to analyze package loss and CO2 concentration levels. The results show the effectiveness of the RF module in all tests for data transmission. The concentration of CO2 is evaluated in three zones to determine the minimum and maximum levels in each of them.
Yagyanath Rimal, Palvi Pandit, Saikat Gocchait, Shariq Aziz Butt, and Ahmed J. Obaid
Journal of Physics: Conference Series, ISSN: 17426588, eISSN: 17426596, Volume: 1804, Published: 2 March 2021
IOP Publishing
Abstract This primary study tries to explore the best machine learning model of hyperparameter tuning using single, multiple, and deep neural networks for predicting engineering student grade of Pokhara University Nepal in the year 2019. Generally, hyperparameter algorithms are adjusted from the data sets automatically when the model was designed. This is not a good idea for all sort of algorithm, with less flexibility of user choices. Therefore this article ties to meet the research gap between automatic calculation vs external model hyperparameter calculation on the same data sets applying comparison. The single neuron predicts 92 percent accuracy of the student’s A, B, C, D grade of university examination with correlation with their internal marks respectively. The five-neuron multilayer neural network produces 72 percent accuracy and deep neural network with drop-out layer (32, 64) examines, the most suitable hyperparameter determines to produce an accurate result of 50 percent accurate when 32 hidden levels were used over 64 hyperparameters produce quite less accuracy (44 percent) of their final score in constituent campus Pokhara. The main objective of this study is to examine the comparison between various neural networks for educational settings for optimization of model deployment accurately when categorical large data prediction of student grade. Therefore, this study compares three comparisons of the neural network model with the same data sets for best hypermeter prediction.
M. Sadiku, Adebowale E. Shadare and S. Musa
Digital Entertainment: The Next Evolutionin Service Sector, Pages: 1-247, Published: 1 January 2021
Springer Nature Singapore
Digital Entertainment: The Next Evolutionin Service Sector, Pages: v-vi, Published: 1 January 2021
Saikat Gochhait, Shariq Aziz Butt, Tauseef Jamal, and Arshad Ali
Research Anthology on Agile Software, Software Development, and Testing, Pages: 491-507, Published: 1 January 2021
IGI Global
The software industries follow some patterns (i.e., process model to develop any software product). Agile methodology is the most famous and used process model. It is a trend to develop efficient software products with high client satisfaction. In this chapter, the authors discuss agile methodology and its components, benefits, and drawbacks while using the cloud computing in agile software development, existing frameworks for agile-cloud combination, and some security measures.
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GRANT DETAILS
Department of Science and Industrial Research , Govt of India with Grant of Rs 13,000,00
Ministry of Foreign Affairs, Taiwan with Grant of Rs 12,000,00
University of Deusto, Spain with Research Grant of Rs 2,000,00
University of Extremadura, Spain with Research Grant of Rs 2,000,00
Samara State Medical University, Russia with Research Visit grant of Rs 2,500,00
Symbiosis International Deemed University with Travel and Research Grant of 4,000,000
INDUSTRY EXPERIENCE
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